According to God of Prompt on Twitter, advanced AI models are now capable of providing nuanced, thoughtful responses to high-stakes entrepreneurial decisions, such as whether a founder should invest their last $50,000 in a new idea (source: @godofprompt, X.com, Dec 27, 2025). The demonstration highlights how generative AI has evolved beyond basic advice, offering context-aware guidance that carefully weighs risks and potential consequences. This development positions AI as a valuable decision-support tool for founders and investors, opening new opportunities for AI-driven consulting platforms that can deliver personalized startup coaching and risk analysis at scale.

According to @godofprompt on Twitter, a specialized prompt can be used to bypass ChatGPT’s inherent tendency to be overly agreeable, allowing users to receive genuine critical feedback instead of generic positive responses (source: https://twitter.com/godofprompt/status/1989971373599719728). This development highlights a growing trend in AI prompt engineering, where businesses and developers are designing targeted instructions to enhance the analytical depth and honesty of generative AI outputs. For enterprises and AI-driven platforms, leveraging such prompts can improve the quality of AI-assisted decision-making and foster more robust internal reviews, supporting use cases in product development, customer feedback analysis, and risk assessment.

According to Google DeepMind (@GoogleDeepMind), Deep Think in GeminiApp introduces advanced parallel reasoning capabilities, enabling AI to tackle complex tasks by exploring multiple approaches simultaneously. This method mirrors human cognitive strategies by generating diverse streams of thought, then comparing, contrasting, and refining these ideas for more robust solutions (source: @GoogleDeepMind, August 1, 2025). This innovation enhances AI’s practical applications in fields such as business process optimization, scientific research, and decision support, offering companies a competitive edge through improved problem-solving and efficiency.